Xiaoxuan Liang

15 papers A* 4Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improved Constrained Generation by Bridging Pretrained Generative Models. CoRR Xiaoxuan Liang, Saeid Naderiparizi, Yunpeng Liu, Berend Zwartsenberg, Frank Wood
2025	A*	`conf`	Constrained Generative Modeling with Manually Bridged Diffusion Models. AAAI Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Constrained Generative Modeling with Manually Bridged Diffusion Models. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2024	A*	`conf`	Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance. ICML Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood
2024	A*	`conf`	Nearest Neighbour Score Estimators for Diffusion Generative Models. ICML Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	J	`jnl`	Nearest Neighbour Score Estimators for Diffusion Generative Models. CoRR Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	J	`jnl`	Semantically Consistent Video Inpainting with Conditional Diffusion Models. CoRR Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	J	`jnl`	TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters. CoRR Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Matthew Niedoba, Yunpeng Liu, Dylan Green, Saeid Naderiparizi, Xiaoxuan Liang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	J	`jnl`	sparsegl: An J. Stat. Softw. Xiaoxuan Liang, Aaron Cohen, Anibal Sólon Heinsfeld, Franco Pestilli, Daniel J. McDonald
2023	A*	`conf`	A Diffusion-Model of Joint Interactive Navigation. NeurIPS Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	J	`jnl`	A Diffusion-Model of Joint Interactive Navigation. CoRR Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	J	`jnl`	Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2023	J	`jnl`	Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models. CoRR Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior
2023	J	`jnl`	Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images. CoRR Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	—	`conf`	Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images. ITSC Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood